Efficient Energy Management Using Sensors and Smart Grid

Abstract

The demand for energy-efficient and sustainable air conditioning systems has increased in recent years. In response, a new air conditioner regulating system has been developed by utilizing smart sensors and machine learning algorithms to optimize energy efficiency and user comfort. The proposed system is designed to switch ON the air conditioner when there is a decrease in temperature and switch ON the fan when there is an increase in bad humidity, reducing energy consumption and providing users with personalized comfort. If both temperature and humidity is not upto threshold, the system enters power saving mode to further reduce the energy consumption. Additionally, the system includes a LED notification system to alert users when temperature increases, allowing for timely adjustments to maintain user comfort and reduce energy waste. The system also includes real-time data analysis and machine learning algorithms, allowing it to learn user preferences and adjust settings accordingly. The system has been tested in a residential setting and has shown a significant reduction in energy consumption compared to traditional air conditioning systems. The air conditioner regulating system has the potential to revolution by providing a sustainable and energy-efficient solution that improves user comfort and reduces environmental impact.